Project Grant 2537450
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $309,407 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop a framework for ensuring the safety and trustworthy deployment of generative artificial intelligence (AI) foundation models, particularly large language models. The project will pursue three key tasks: 1) Conduct in-depth analysis to identify root...
- The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Virginia Polytechnic Institute & State University (Virginia Tech) from October 1, 2025 to September 30, 2027. The grant supports the development of generative artificial intelligence (GenAI) methods to create synthetic data for enhancing the performance of machine learning-based network and application security classifiers....
- This is a Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The total funding amount is $369,693.00, awarded on Oct 1, 2025 with a completion date of Sep 30, 2030. The project aims to transform cybersecurity defenses against advanced persistent threats (APTs) by leveraging large language models (LLMs) and their ability to understand and generate human language. The key objectives are to enable...
- The National Science Foundation (NSF) awarded a $250,000 EAGER (Early-concept Grants for Exploratory Research) project grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a workshop and resulting issue paper that will systematically assess current and emerging threats to artificial intelligence (AI) systems, as well as the risks introduced by their deployment and application. The project aims to characterize the emerging discipline of...
- The National Science Foundation (NSF) awarded a $121,650 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Virginia Polytechnic Institute & State University (Virginia Tech) for the project "FLTEST: Testbed for Enhancing Privacy and Robustness of Federated Learning Systems". The project aims to develop comprehensive testing tools to ensure the reliable and secure deployment of privacy-preserving artificial intelligence systems,...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $349,360 to Virginia Polytechnic Institute & State University (Virginia Tech) to investigate how artificial intelligence (AI) engineers perceive and develop translational ethical competency. The research aims to advance the fundamental knowledge of how future AI engineers can innovate responsibly and construct advanced engineering systems empowered by AI technologies. Specifically,...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) provides $200,000 to Norfolk State University to expand the university's research, curriculum, and training capabilities at the nexus of artificial intelligence (AI) and cybersecurity. The key components of the project, titled "AI-SECURE," include: Developing five new AI courses, a machine learning/AI minor, and six experiential learning modules to infuse responsible AI principles...
- This federal Project Grant award of $180,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at Michigan State University to improve the robustness and trustworthiness of artificial intelligence (AI) models. The project aims to establish statistical frameworks for adversarial training in neural networks and develop scalable algorithms that leverage dynamic attack strategies and selective sampling to enhance the...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
- This $232,464 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of artificial intelligence (AI)-enabled analytics techniques to identify emerging cyber threat trends and link exploits to vulnerabilities. The funding will enable researchers at Indiana University to create a novel Diachronic Graph Transformer (DGT) model to detect and predict shifting exploit terminology and semantics,...
This $300,000 Project Grant awarded by the National Science Foundation (CFDA 47.083 - Integrative Activities) to Virginia Polytechnic Institute & State University (Virginia Tech) aims to develop and validate a lifecycle-based typology of threats to secure artificial intelligence (AI) research. The project will explore how to better safeguard AI research from growing security risks, including data breaches, intellectual property theft, and foreign interference, that could undermine the integrity and impact of AI innovation. By creating a new framework to map potential threats across the AI research lifecycle, the work seeks to help institutions, educators, and policymakers understand and more effectively address vulnerabilities in AI research. Through collaboration with stakeholders and innovative research methods, the project will advance the field of research on research security (RORS) and support safer, more resilient AI development for the public good.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/21/25 |